Dynamic Adaptation Method of Business Process Based on Hierarchical Feature Model

• Published in: Information (Basel) Vol. 12; no. 9; p. 362
• Main Authors: Zhang, Le, Gao, Qi, Li, Tingyu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2021
• Subjects: Adaptability; Adaptation; Algorithms; Business process management; business process modeling; business process modeling notation (BPMN); Complexity; Data models; Decision making; dynamic adaptation method; Emergency response; feature model; hierarchical management; Machine learning; Methods; Reconfiguration
• ISSN: 2078-2489; 2078-2489
• DOI: 10.3390/info12090362

With the continuous complexity and frequent changes in business application scenarios, companies urgently need to establish a flexible business process management mechanism that includes dynamic rules, in which dynamic adaptation methods of business processes play a vital role. Aiming at the problem that the current methods only use the preset process template and the decision-making database, it cannot respond quickly to business changes and reconfigure the business process. This research proposes a dynamic adaptation method of business process based on the hierarchical feature model, builds a hierarchical feature model of complex processes, then establishes a hierarchical business policy set to achieve an agile response to business emergencies. By constructing a mapping model, the feature model is associated with the BPMN model to realize the rapid execution of the reconfiguration process model. The feasibility and effectiveness of the proposed method are verified by process examples and the developed business process dynamic adaptation tool.